Existing grid layout methods may fail to maintain cluster structures within the data.
A better preservation of cluster structures can facilitate data analysis.
We develop a cluster-aware grid layout method.
The global assignment achieves a good balance between proximity and compactness,
and the local adjustment swaps the boundary cells to improve convexity.